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Hacking Machine Learning

machine learningdata science

Learn hands-on Machine Learning skills with diverse speakers from the industry. We focus on engaging talks, that can teach you skills and ideas, that you can apply for your Machine Learning challenges

Catching Out-of-Context Misinformation using Self-Supervised Learning #misinformation
Catching Out-of-Context Misinformation using Self-Supervised Learning #misinformation
Speech Processing with Deep Learning and JAX/Trax - M. Yusuf Sarıgöz #JAX
Speech Processing with Deep Learning and JAX/Trax - M. Yusuf Sarıgöz #JAX
10 things that can go wrong with ML projects (and what you can do about it) - Karl Weinmeister
10 things that can go wrong with ML projects (and what you can do about it) - Karl Weinmeister
Effective TensorFlow for Non-Experts - Martin Wicke
Effective TensorFlow for Non-Experts - Martin Wicke
A short overview on CoreML - Lars Gregori
A short overview on CoreML - Lars Gregori
Tutorial:  Sequence-to-Sequence Networks in CNTK - William Darling
Tutorial: Sequence-to-Sequence Networks in CNTK - William Darling
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Word Embeddings for Natural Language Processing in Python - MARCO BONZANINI
Word Embeddings for Natural Language Processing in Python - MARCO BONZANINI
Parallelizing Pandas, NumPy, and Scikit-Learn with Dask  - Ian Stokes-Rees
Parallelizing Pandas, NumPy, and Scikit-Learn with Dask - Ian Stokes-Rees
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